AIML - Director of Technical Program Management, ML Adaptation & Evaluation

Key Skills

Aartificial intelligence, Data Mining, Effective communication skills, Machine learning techniques, Management, Statistics

Job Description

• 10+ years in a role leading cross-functional teams in technical product development (e.g. Product Management or Engineering Management).
• Proven track record of delivering large-scale engineering products or platforms involving machine learning, data processing, and data analytics tools at the Internet scale, including experience with ML training (e.g. train/test, evaluation, measurement), data processing pipelines, large-scale and high-throughput backend services, or user-facing applications that use those services and deliver measurable business or product value.
• Ability to engage with business partners, translate needs into technical roadmaps, and deliver and effectively communicate and partner with executive stakeholders.
• Experience building, motivating, and leading impactful teams of product and technical program managers.
• Passionate about delivering the best user experience to internal users by actively surveying user needs and translating requirements into a feature roadmap
• Ability to use data and metrics to back up assumptions, make recommendations, and drive actions
• Ability to clearly articulate product vision, and influence (and pivot) engineering direction based on that vision.
• Self-motivated, independent, and proactive; validated creative and critical thinking capabilities; can quickly (real-time) triage, prioritize, and lead cross-functional teams under pressure
• Effective and clear communication and presentation abilities, written and verbal
• Highly developed strive to improve how things work, with a track record of driving improvements for team quality, performance, agility, or efficiency

Description

You will be responsible for driving the vision and development of that roadmap for Apple, partnering across Apple, and delivering some of the most ambitious capabilities for driving machine-learned features on Apple hardware (including opening up the boundaries on privacy-first machine learning). If you are the type of person that feels a personal stake in everything that you work on, has a strong sense of ownership, thrives in fast-paced environments with lots of ambiguity, enjoys working with sophisticated technologies, knows how to nurture positive relationships, builds trust, and works for the success for the entire team, we are excited to meet you!

Education & Experience

BS/MS/PhD EE/CS/CE or equivalent

Additional Requirements

• - M.S. or Ph.D. degree with a focus in computer science, machine learning, data mining, or statistics
• - Prior PM or engineering experience in Machine Learning training or inference technologies.
• - Past senior manager level or above management experience at a top technology company

Pay & Benefits

• At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $279,300 and $446,300, and your base pay will depend on your skills, qualifications, experience, and location.

  Apple employees also have the opportunity to become an Apple shareholder through participation in Apple’s discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple’s Employee Stock Purchase Plan. You’ll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.